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Traditional data envelopment analysis (DEA) is used under the premise that inputs and outputs are exact values. If it is not true, the DEA approach is unavailable. However, it is common that some of the entries in the data are missing in practice. As a result, the current paper performs...
Supply chain sustainability has recently gained an increasing attention in the supply chain context both from the practitioners’ perspective and as a research area. There have been many incentives for more sustainable warehousing in supply chains. Sustainable warehousing includes activities such...
Traditional DEA models allow individual decision-making units (DMUs) to arbitrarily determine the weights of all variables to calculate their efficiencies. This flexibility in selecting the weights is a great advantage for many DMUs, but it also brings some defects such as non-uniqueness of...
Quantitative and qualitative statistical indicators play a vital role in assessing the activities of higher education institutions and improving and strengthening the educational system. The research on applying statistical indicators to higher education has been done in many countries and...
This paper presents a simple and systematic multi-criteria decision making methodology to select a cutting fluid for the given application using the preference selection index (PSI) method. In this methodology, cutting fluid is selected for a given machining application without considering...
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